Instructions to use nbroad/jplu-xlm-r-ner-40-lang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/jplu-xlm-r-ner-40-lang with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nbroad/jplu-xlm-r-ner-40-lang")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nbroad/jplu-xlm-r-ner-40-lang") model = AutoModelForTokenClassification.from_pretrained("nbroad/jplu-xlm-r-ner-40-lang", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
pytorch version of jplu/tf-xlm-r-ner-40-lang
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